IT Architect (m/f/d) – PINKTUM, Hamburg Hybrid
PINKTUM
Shape the architecture of PINKTUM’s AI-powered learning platforms and digital education products. Own cloud infrastructure, integrations, migrations, and reliable SaaS operations.
Open
SunnyData is a data engineering and AI consulting firm focused on Databricks. Its Databricks-certified engineers help organizations modernize data platforms, migrate legacy enterprise data warehouses and data lakes, and turn AI, machine learning, and generative AI initiatives into operational systems. The company also supports data governance and MLOps, with domain expertise spanning healthcare, financial services, and logistics.
Senior Analytics Engineer, BI — Remote
Build dashboards, SQL models, and data pipelines that support SunnyData customer data journeys. Improve reporting accuracy, usability, and data-driven decision-making.
Description
- Build and maintain dashboards and reports using Power BI, Tableau, Databricks AI/BI, Looker, or comparable BI platforms.
- Turn ticketed business requests into accurate, actionable data visualizations.
- Standardize definitions, metrics, and data logic across reporting assets.
- Improve query and dashboard performance while keeping results clear and usable.
- Record the logic and assumptions underpinning key metrics and dashboards.
- Develop and maintain database views, derived tables, and other analytical objects.
- Model and transform data to support dependable downstream reporting.
- Investigate data discrepancies and verify accuracy across systems.
- Partner on improvements to data structures and warehouse organization.
- Deliver accurate, thoroughly documented dashboards within agreed SLAs.
- Create clean, reusable SQL objects for ongoing reporting needs.
- Strengthen metric clarity and consistency while reducing reporting-request back-and-forth.
- Work closely with cross-functional teams and provide support to junior colleagues.
Requirements
- At least four years of relevant experience in analytics, business intelligence, or data engineering.
- Advanced SQL skills, including complex queries, joins, CTEs, aggregations, and window functions.
- Practical experience working with cloud-based data warehouses.
- Experience creating dashboards and reports in Looker, Tableau, or Power BI.
- Ability to interpret business needs and convert them into technical solutions.
- Strong attention to detail and disciplined data-validation practices.
- Ability to lead business discussions, establish standards, document KPIs and reports, optimize large data models, and support junior team members.
- Bachelor’s degree in computer science or an engineering-related discipline.
- English proficiency is required, with English-level selection included in the application form.
Benefits
- Professional development and career advancement opportunities.
- Exposure to modern technologies and industry leaders in data engineering and AI.
- A collaborative culture that encourages support and knowledge sharing.
- Equal opportunity employment with a commitment to unbiased hiring practices.
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